Journal article
Cross-sectional analysis of time-dependent data: Mean-induced association in age-heterogeneous samples and an alternative method based on sequential narrow age-cohort samples
Multivariate behavioral research, Vol.41(2), pp.165-187
06/01/2006
DOI: 10.1207/s15327906mbr4102_4
PMID: 26782909
Abstract
The effect of time-related mean differences on estimates of association in cross-sectional studies has not been widely recognized in developmental and aging research. Cross-sectional studies of samples varying in age have found moderate to high levels of shared age-related variance among diverse age-related measures. These findings may be misleading because high levels of association between time-dependent processes can result simply from average population age differences and not necessarily from associations between individual "rates of aging." This is demonstrated both analytically and in a simulation involving cross-sectional sampling of individual trajectories. An alternative cross-sectional narrow age-cohort design is shown to provide a useful alternative for evaluating the interdependence of time-related processes.
Details
- Title: Subtitle
- Cross-sectional analysis of time-dependent data: Mean-induced association in age-heterogeneous samples and an alternative method based on sequential narrow age-cohort samples
- Creators
- Scott M. Hofer - Oregon State UniversityBrian P. Flaherty - Pennsylvania State UniversityLesa Hoffman - Pennsylvania State University
- Resource Type
- Journal article
- Publication Details
- Multivariate behavioral research, Vol.41(2), pp.165-187
- Publisher
- Taylor & Francis
- DOI
- 10.1207/s15327906mbr4102_4
- PMID
- 26782909
- ISSN
- 0027-3171
- eISSN
- 1532-7906
- Number of pages
- 23
- Language
- English
- Date published
- 06/01/2006
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371092302771
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